Getting it into your agent
One page per mod, every tool's command on it. A separate URL per tool would split the same page into five that compete with each other.
npx skills add modu-ai/moai-cowork --skill marketing-seo-auditgit clone --depth 1 https://github.com/modu-ai/moai-coworkWrote this? Show the measurements
A badge with what this costs and how it scanned, read live from this page, so it follows the numbers instead of freezing them. Markdown for a README, HTML for a documentation site or a project page.
[](https://agentmods.dev/skills/modu-ai/moai-cowork/marketing-seo-audit)<a href="https://agentmods.dev/skills/modu-ai/moai-cowork/marketing-seo-audit"><img src="https://agentmods.dev/badge/skills/modu-ai/moai-cowork/marketing-seo-audit/github.svg" alt="Measured on agentmods" height="20"></a>Or the 80×15 button, for a site that already has a row of RSS and ATOM ones. Only the verdict fits; the numbers stay here.
<a href="https://agentmods.dev/skills/modu-ai/moai-cowork/marketing-seo-audit"><img src="https://agentmods.dev/badge/skills/modu-ai/moai-cowork/marketing-seo-audit.svg" alt="Reviewed on agentmods" width="80" height="20"></a>- NVIDIA SkillSpector pass
What it costs to keep this loaded
Counted locally with the o200k_base tokenizer, which is exact for GPT models; Claude uses its own tokenizer and its counts differ. Treat this as one consistent yardstick across the catalogue rather than a bill. Prices are per million input tokens.
| Model | Per session | Once invoked |
|---|---|---|
| Fable 5.1 | $0.00232 | $0.03712 |
| Opus 5 | $0.00116 | $0.01856 |
| Sonnet 5 | $0.00046 | $0.00742 |
| Haiku 4.5 | $0.00023 | $0.00371 |
Grade A, and why
marketing-seo-audit scanned grade A with 0 findings against 26 rules in 11 categories — prompt injection, anti-refusal, data exfiltration, privilege escalation, supply chain, agent snooping, system-prompt leakage, SSRF and excessive agency — measured 8d ago.
A static scan of the body, not an audit. Every finding is printed with the line that produced it so you can judge whether it matters here. A mod is markdown that instructs an agent; that is exactly why what it instructs is worth reading.
Nothing flagged
None of the 26 patterns this scan looks for appear in this file: no shell pipes, no recursive deletes, no credential paths, no hidden text, no instruction-override or anti-refusal phrasing, no agent-config snooping. That is not a guarantee, it is the absence of the things that are checkable.
How it starts
The opening of the file, as written. The whole thing — 239 lines — stays where its author put it; the contents beside it link to each section on GitHub.
SEO 감사 (SEO Audit)
개요
네이버·구글 양대 검색엔진과 ChatGPT·Perplexity 등 AI 검색(GEO)까지 포괄하는 통합 SEO 감사 및 최적화 전략을 제공합니다.
2026년 핵심 트렌드인 네이버 스마트블록·C-Rank 전문성, 구글 AI Overview, GEO(생성형 검색 최적화)를 반영합니다.
트리거 키워드
SEO 감사, 검색최적화, 키워드 분석, 네이버 SEO, 구글 SEO, 온페이지 SEO, 백링크, 검색 순위, C-Rank, DIA, GEO, AI 검색 최적화, 상위노출
실전 한국 SEO 패턴 (2026 네이버·구글·GEO 통합)
한국은 **네이버 + 구글 + AI 검색(GEO)**의 3채널 검색 시장입니다. 한 채널만 최적화하면 절반의 트래픽만 잡습니다. 2026 핵심 변화: 네이버 AI 브리핑 트래픽 비중 20% → 40% 확대, 15자 이상 구체 질의 2배 증가, 구글 AI Overview 확산. SEO는 단순 순위 경쟁에서 **AI 인용 경쟁(GEO)**으로 중심축이 이동했습니다.
6개 핵심 패턴
① 한국 검색 시장 3분할 (2024-2026)
| 채널 | 주 사용자 | 강점 | 약점 |
|---|---|---|---|
| 네이버 | 30-50대 + 로컬·쇼핑 | 한국 정보·상권·맛집·블로그 | 글로벌·전문 정보 약함 |
| 구글 | 20-30대 + 전문직 | 글로벌·기술 정보·학술 | 한국 로컬 약함 |
| AI 검색 (GEO) | 얼리어답터 + 점차 확대 | 즉답·요약·종합 | 검증·출처 약함 |
검색 채널 ≠ 단일, 각 채널 최적화 분리 필수. 한국 사업자는 네이버 우선 + 구글 보완 + AI 검색 대비 권장.
② 네이버 C-Rank 핵심 5요소
| 요소 | 측정 |
|---|---|
| 주제 집중도 | 한 블로그가 한 주제로 깊이 (잡블로그 패널티) |
| 발행 일관성 | 주 2-3회 이상 꾸준 (발행 멈춤 = C-Rank 하락) |
| 사용자 반응 | 공감·댓글·스크랩·체류시간 |
| VIEW 통합 노출 | VIEW 영역 등장 여부 |
| 콘텐츠 신선도 | 1년 이내 업데이트 우대 |
잡블로그 페널티: 여러 주제 섞으면 어떤 주제도 상위 노출 어려움. 블로그를 주제별로 분리가 정답.
③ D.I.A.+ 평가 (2026 신규)
| 평가 | 의미 |
|---|---|
| 제목-본문 키워드 적합도 | 제목과 본문 핵심 키워드 일치 |
| 경험 기반 정보 | 실제 사용·방문·체험 (1차 경험) |
| 글의 구조 | 소제목·이미지·표 (가독성) |
| 검색 의도 부합도 | 사용자가 알고 싶은 것에 답하는가 |
| AI 생성 콘텐츠 패널티 | 네이버 탐지 강화 (2024 이후) |
AI 생성 글 그대로 발행 = 위험. 사람의 경험·인사이트 추가 필수.
④ 구글 E-E-A-T (2024-2026)
| 요소 | 의미 |
|---|---|
| Experience | 1인칭 경험 콘텐츠 (직접 사용·방문) |
| Expertise | 전문성 (자격·경력·교육) |
| Authoritativeness | 외부 인용·백링크·언급 |
| Trustworthiness | 출처·날짜·저자 명시 |
Core Web Vitals 임계값:
- LCP < 2.5s (최대 콘텐츠 로딩)
- INP < 200ms (상호작용 응답성 — 2024-03 FID 공식 대체)
- CLS < 0.1 (레이아웃 변동)
기술 SEO도 동시에: 모바일 친화성, sitemap.xml, robots.txt, HTTPS, 구조화 데이터 (schema.org).
⑤ GEO (생성형 검색 최적화) 7요소 + 4지표
ChatGPT·Perplexity·Claude·네이버 AI 브리핑·구글 AI Overview가 답변에 인용하는 콘텐츠 만들기:
| 요소 | 적용 |
|---|---|
| 명확한 출처·날짜 | AI가 신뢰 |
| 구조화된 정보 | Q&A·리스트·표·비교표·타임라인 |
| 고유 데이터 | 1차 통계·내부 조사·인터뷰 |
| 인용 가능한 문장 | 사실 명제 (단정형) |
| 권위 도메인 | .gov / .edu / .org / 공식 매체 |
| 최신성 | 발행일·업데이트일 명시 |
| 다양한 매체 인용 | 위키·뉴스·전문 매체 |
What ships with it
1 file beside SKILL.md in the same directory: the scripts, references and assets a skill reads on demand. Not counted in the per-session cost; read them before you install if any of them is executable.
What this file has done since we first saw it
Hashed on every crawl. A supply-chain change to an agent config is a question of when, not whether, so the history is kept rather than the latest state alone.
- 8d ago First seen · 239 lines · 232 tokens per session scan A a699425c8034
marketing-seo-audit is a skill published in the GitHub repository modu-ai/moai-cowork (300 stars, last pushed 9d ago), licensed Apache-2.0. It adds 232 tokens to every session and 3,712 once invoked, about $0.0012 per session on Opus 5. A static security scan graded it A with 0 findings. No closer match exists in the catalogue, so it is treated as the original; first seen 2026-09-03.
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